Python Numpy For Data Science (2025)

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here ! 1 - Introduction
• 1 -Course_Python_Numpy_For_Data_Science.ipynb (895.5 KB)
• 1 -Introduction.mp4 (9.8 MB)
10 - Visualizations
• 1 -Plotting with Numpy.mp4 (30.5 MB)
11 - Numpy and its use in Machine Learning and Data Science
• 1 -Numpy and its use in Machine Learning and Data Science Applications.mp4 (79.1 MB)
2 - Numpy Arrays
• 1 -Numpy Arrays and Manipulation.mp4 (106.1 MB)
• 2 -Array Indexing and Slicing.mp4 (99.3 MB)
• 3 -Comparing Numpy Arrays and Numpy Special Values.mp4 (20.3 MB)
3 - Numpy Dates and Set Operations
• 1 -Numpy Dates and Set Operations.mp4 (55.1 MB)
4 - Vectorized Operations
• 1 -Vectorized Operations.mp4 (92.7 MB)
• 2 -Vectorized Operations Continued.mp4 (48.2 MB)
5 - Inferential Statistics and Universal Functions
• 1 -Inferential Statistics and Universal Functions.mp4 (51.1 MB)
6 - Performance Optimization
• 1 -Performance Optimization For loops vs Vectorization.mp4 (26.7 MB)
7 - Linear Algebra
• 1 -Major Ideas from Linear Algebra.mp4 (113.1 MB)
8 - Sequences and Random Number Generation
• 1 -Sequences and Random Numbers arange, linspace, and random number generation.mp4 (79.1 MB)
9 - Working with Missing Data
• 1 -Dealing with missing values and basic imputation techniques.mp4 (44.8 MB)
• Bonus Resources.txt (0.1 KB)